scikitplot

An intuitive library that seamlessly adds plotting capabilities and functionality to any model objects or outputs, compatible with tools like scikit-learn, XGBoost, TensorFlow, and more.

Documentation is available in the docstrings and online at https://scikit-plots.github.io.

Configure global settings and get information about the working environment.

config_context	Context manager for global scikit-plots configuration.
get_config	Retrieve current values for configuration set by set_config.
get_logger	Return SP (scikitplot) logger instance.
logger	scikitplot.sp_logging (alias, scikitplot.logger) module provide logging utilities.
reset	Reset global state for NumPy, scikit-learn, matplotlib, and seaborn.
set_config	Set global scikit-plots configuration.
show_config	Show libraries and system information on which SciPy was built and is being used
show_versions	Print useful debugging information
online_help	Open the online documentation search page.